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License: MIT License

Python 22.95% Shell 0.06% Jupyter Notebook 34.52% HTML 42.47%

thermalizer's Introduction

thermalizer

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Automated translation from mesophilic AA sequence to thermally stabilized variant

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Some notes:

  • The environment for this tool can be reconstructed with conda. It is saved in environment.yml
  • Requires python 3.6

Overview of files:

File Description
P1_TableGenerator.py Extracts all protein sequences from the refseq bacterial and archeael genomes.
P2_Table2Fasta Creates a fasta file with the protein sequences from P1.
P3_16S_TableGenerator.py Extracts 16sRNA sequences from the genome.
P4_split_data.py Splits 16sRNA sequences into thermophilic and mesophilic.
P4_16S_blast.py Aligns 16sRNA sequences.
P5_best_hit.py For each thermophile find its best hit among mesophiles.
P6_append_protein.py Appends corresponding proteins to P5.
P7_blastp_njobs.py Aligns protein sequences from P6
P8_blastp_best_hit.py For each thermophilic protein find its best hit among mesophilic proteins.
P9_blastp_seq_pair.py Appends sequences according to protein ids from P8.
P10_s2s_pytorch.py Defines the modules for data preprocessing and training.
pytorchtools.py Defines the classes for Encoder, Attention Mechanism, Decoder, EarlyStopping and InferenceDecoder.
Seq2Seq_in_Pytorch.ipynb The NLP Demo for a small sample.

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